PURPOSE: To assess ocular biometric parameters and refractive error in Brazilian adults and their relationship with height, age, gender and years of formal education. METHODS: Cross-sectional study that assessed 173 subjects by keratometry, echobiometry, refraction and measurement of body height. The statistical analysis was performed using Pearson's coefficient and a regression model was constructed. RESULTS: The correlations found were: each 10 cm - increase in height was related to a 0.32 mm longer axial length, 0.07 mm deeper anterior chamber, 0.26 mm deeper vitreous chamber and 0.50 D flatter keratometry. Each 10-year increase in age, related to a 0.15 mm smaller axial length, 0.25 mm thicker lens, 0.21 mm shallower vitreous chamber and 0.23 D more positive spherical equivalent. Each 10-year increase in education related to a 0.74 D more negative spherical equivalent. Gender did not influence the analyzed biometric parameters. Equations referring to biometric parameters and spherical equivalent were formulated. CONCLUSIONS: Positive correlations were found between: axial length and height; anterior chamber and vitreous cavity depth with height; lens thickness with age; keratometry with height; and spherical equivalent with age. Negative correlations were found between: anterior chamber and vitreous cavity depth with age; spherical equivalent and years of formal education.
PURPOSE: To assess ocular biometric parameters and refractive error in Brazilian adults and their relationship with height, age, gender and years of formal education. METHODS: Cross-sectional study that assessed 173 subjects by keratometry, echobiometry, refraction and measurement of body height. The statistical analysis was performed using Pearson's coefficient and a regression model was constructed. RESULTS: The correlations found were: each 10 cm - increase in height was related to a 0.32 mm longer axial length, 0.07 mm deeper anterior chamber, 0.26 mm deeper vitreous chamber and 0.50 D flatter keratometry. Each 10-year increase in age, related to a 0.15 mm smaller axial length, 0.25 mm thicker lens, 0.21 mm shallower vitreous chamber and 0.23 D more positive spherical equivalent. Each 10-year increase in education related to a 0.74 D more negative spherical equivalent. Gender did not influence the analyzed biometric parameters. Equations referring to biometric parameters and spherical equivalent were formulated. CONCLUSIONS: Positive correlations were found between: axial length and height; anterior chamber and vitreous cavity depth with height; lens thickness with age; keratometry with height; and spherical equivalent with age. Negative correlations were found between: anterior chamber and vitreous cavity depth with age; spherical equivalent and years of formal education.